Scalable Graph Drawing

Scalable Graph Drawing is a graph drawing methodology designed to efficiently generate readable visual representations of large-scale node-link diagrams by maintaining performance and visual clarity as graph size increases.

28

Publications

1.5K

Citations

59

Authors

29

Institutions

Publications per year

2017–2026

4

Authors

59

  1. DH
    David Harel

    Weizmann Institute of Science, Israel

    6 publications · 645 citations

    6

    h-index

  2. YK
    Yehuda Koren

    AT&T (United States), United States

    5 publications · 551 citations

    5

    h-index

  3. SW
    Stephen Wismath

    University of Lethbridge, Canada

    2 publications · 41 citations

    2

    h-index

  4. SK
    Stephen Kobourov

    University of Arizona, United States

    2 publications · 83 citations

    2

    h-index

  5. LC
    Liran Carmel

    Hebrew University of Jerusalem, Israel

    2 publications · 191 citations

    2

    h-index

1–5 of 59

Venues

  1. Journal of Graph Algorithms and Applications

    JGAA · 7 publications · 382 citations

    7

    h-index

  2. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 4 publications · 204 citations

    4

    h-index

  3. 1

    h-index

  4. Information Processing Letters

    1 publications · 29 citations

    1

    h-index

  5. Journal of Visual Languages & Computing

    JVLC · 1 publications · 13 citations

    1

    h-index

1–5